Data mining is an interdisciplinary branch of computer science. It is a computational process that uses the intersection of artificial intelligence, machine learning, statistics, and databases to discover patterns in relatively large data sets.

Q-learning is a model-free, off-policy reinforcement learning algorithm that finds the best course of action given the agent’s current state.

Neural networks are computationally connected by large numbers of artificial neurons. They use interconnected nodes, or neurons, in a hierarchical structure similar to the human brain. They can create adaptive systems that computers use to learn from their mistakes and continually improve.

Deep learning is an artificial intelligence (AI) approach for teaching computers to process data in ways inspired by the human brain.

Grouped Query Attention (GQA) is a method that interpolates between Multi-Query Attention (MQA) and Multi-Head Attention (MHA) in Large Language Models (LLM).

In computer science, rule-based systems are used to store and use knowledge in order to interpret information in a useful way.

Generative artificial intelligence (AIGC) is an AI system that can generate text, images, or other media in response to prompts, including text, images, videos, and 3D models.

A compute node is a computer and its supporting equipment used in the field of computer science and technology.

In the computer field, cache memory is a temporary memory used to store data that is frequently accessed or temporarily stored when a computer program is running, in order to increase the speed of reading and accessing data.

Random Access Memory (RAM), also called main memory, is the computer's memory used to store data that the processor is currently using.

Read-only memory (ROM) is a type of nonvolatile memory used in computers and other electronic devices.

In artificial intelligence, expert systems are computer systems that simulate the decision-making ability of human experts. Expert systems are the most important and active application field in artificial intelligence. They have achieved a major breakthrough in artificial intelligence from theoretical research to practical application, and from general reasoning strategy exploration to the use of specialized knowledge.

Zero copy technology means that when a computer performs an operation, the CPU does not need to copy data from one memory location to another specific area first.

The main purpose of Zero-Shot is to gain the ability to predict results without any training samples, the machine must recognize objects in classes that were not trained during training. Zero-shot learning is based on knowledge transfer, which is already included in the examples fed during training.

MMLU provides a way to test and compare various language models, such as OpenAI GPT-4, Mistral 7b, Google Gemini, and Anthropic Claude 2.

AIOps refers to the use of big data, advanced analytics, and machine learning to enhance the operational and functional workflows of IT teams.

Apptainer is a container system for high performance computing (HPC), formerly known as Singularity. It is used to build and run Linux containers, packaging software, libraries, and runtime compilers in isolated environments.

The Beowulf cluster is a high-performance parallel computer cluster structure, which is assembled using cheap personal computer hardware to achieve the best cost-effectiveness.

Human-Feedback Reinforcement Learning is an advanced method for training AI systems that combines reinforcement learning with human feedback.

Batch processing is to combine a series of commands or programs together in sequence and execute them in batches in a batch file.

Computational fluid dynamics applications run most efficiently on high performance computing (HPC) systems with high-throughput local storage, low-latency networks, and optimized CPUs.

Data Science (DS) aims to extract valuable information, insights and knowledge from large-scale data.

Field Programmable Gate Array A Field Programmable Gate Array (FPGA) is a semiconductor device based on a matrix of configurable logic blocks (CLBs) connected by programmable interconnects. It can be reprogrammed after fabrication based on the desired application or functional requirements.

In computer computing, Remote Direct Memory Access (RDMA) is a direct memory access technology that transfers data directly from the memory of one computer to another without the intervention of the operating systems of both computers.

Data mining is an interdisciplinary branch of computer science. It is a computational process that uses the intersection of artificial intelligence, machine learning, statistics, and databases to discover patterns in relatively large data sets.

Q-learning is a model-free, off-policy reinforcement learning algorithm that finds the best course of action given the agent’s current state.

Neural networks are computationally connected by large numbers of artificial neurons. They use interconnected nodes, or neurons, in a hierarchical structure similar to the human brain. They can create adaptive systems that computers use to learn from their mistakes and continually improve.

Deep learning is an artificial intelligence (AI) approach for teaching computers to process data in ways inspired by the human brain.

Grouped Query Attention (GQA) is a method that interpolates between Multi-Query Attention (MQA) and Multi-Head Attention (MHA) in Large Language Models (LLM).

In computer science, rule-based systems are used to store and use knowledge in order to interpret information in a useful way.

Generative artificial intelligence (AIGC) is an AI system that can generate text, images, or other media in response to prompts, including text, images, videos, and 3D models.

A compute node is a computer and its supporting equipment used in the field of computer science and technology.

In the computer field, cache memory is a temporary memory used to store data that is frequently accessed or temporarily stored when a computer program is running, in order to increase the speed of reading and accessing data.

Random Access Memory (RAM), also called main memory, is the computer's memory used to store data that the processor is currently using.

Read-only memory (ROM) is a type of nonvolatile memory used in computers and other electronic devices.

In artificial intelligence, expert systems are computer systems that simulate the decision-making ability of human experts. Expert systems are the most important and active application field in artificial intelligence. They have achieved a major breakthrough in artificial intelligence from theoretical research to practical application, and from general reasoning strategy exploration to the use of specialized knowledge.

Zero copy technology means that when a computer performs an operation, the CPU does not need to copy data from one memory location to another specific area first.

The main purpose of Zero-Shot is to gain the ability to predict results without any training samples, the machine must recognize objects in classes that were not trained during training. Zero-shot learning is based on knowledge transfer, which is already included in the examples fed during training.

MMLU provides a way to test and compare various language models, such as OpenAI GPT-4, Mistral 7b, Google Gemini, and Anthropic Claude 2.

AIOps refers to the use of big data, advanced analytics, and machine learning to enhance the operational and functional workflows of IT teams.

Apptainer is a container system for high performance computing (HPC), formerly known as Singularity. It is used to build and run Linux containers, packaging software, libraries, and runtime compilers in isolated environments.

The Beowulf cluster is a high-performance parallel computer cluster structure, which is assembled using cheap personal computer hardware to achieve the best cost-effectiveness.

Human-Feedback Reinforcement Learning is an advanced method for training AI systems that combines reinforcement learning with human feedback.

Batch processing is to combine a series of commands or programs together in sequence and execute them in batches in a batch file.

Computational fluid dynamics applications run most efficiently on high performance computing (HPC) systems with high-throughput local storage, low-latency networks, and optimized CPUs.

Data Science (DS) aims to extract valuable information, insights and knowledge from large-scale data.

Field Programmable Gate Array A Field Programmable Gate Array (FPGA) is a semiconductor device based on a matrix of configurable logic blocks (CLBs) connected by programmable interconnects. It can be reprogrammed after fabrication based on the desired application or functional requirements.

In computer computing, Remote Direct Memory Access (RDMA) is a direct memory access technology that transfers data directly from the memory of one computer to another without the intervention of the operating systems of both computers.